At core, it's an infrastructure language such that it enables the people to come together without fuss. As a developer, I can code the back-end for a board gam

At core, it's an infrastructure language such that it enables the people to come together without fuss. As a developer, I can code the back-end for a board game without thinking about the failure modes for disk/db/network and I code as if I'm a single process (you know, the way we coded as kids). The mental model mirrors if you gather all your friends to play a game with the same keyboard and mouse. As a service, it is a combination of EC2/Lambda for compute, Ably for notifications and connectivity, some DB for storage of state, and workflow for orchestration of people transactions. All within a single package. As a game designer, my hope is that I can make it easier enough that the rules backing a game can be built and then evaluated with simulation and artificial intelligence. I have rough prototypes of this, but I implemented the back-end of Battlestar Galactica and had a random bot just play it. That's a remarkable achievement in a way, and now the question is how to train a system to search for patterns in looking at what decisions are made with a JSON document as the state of the game.